The Online Visual Group Formation of the Far Right: A Cognitive-Historical Case Study of the British National Party
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article investigates how the European far right, exemplified by the British National Party (BNP) uses images and other semiotic resources in online group formation. The data consists of a corpus containing all images occurring in articles published on the BNP website between May 2010 and March 2012. Flag elements are used as entry point to the analysis due to their high frequency in the corpus. The article proposes a cognitive-historical approach to Critical Discourse Analysis drawing on Cognitive Linguistics and the Discourse-Historical Approach. The analysis shows that images in BNP articles are not merely accessory features to text but that they send out ideological messages on their own and that they to a certain degree express what cannot be said using text. Flag images show how the BNP has undergone a visual transformation in the last decade, but also that the party constructs out-groups with anti-left and Islamophobic undertones.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it